Triple
T12169234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottawa Redblacks |
E289913
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Redblacks |
E289913
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Redblacks | Statement: [Ottawa Redblacks, shortName, Redblacks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redblacks Context triple: [Ottawa Redblacks, shortName, Redblacks]
-
A.
Redblacks
chosen
Redblacks is a professional Canadian Football League team based in Ottawa, Ontario.
-
B.
Rosse
Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
-
C.
Red, Black & Green
"Red, Black & Green" is a 1973 jazz-funk album by vibraphonist Roy Ayers that blends soulful grooves with socially conscious themes.
-
D.
Rood
Rood is a surname most notably associated with Ogden Rood, an American physicist and color theorist known for his influential work on color science.
-
E.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a45568819090662cd3547c9253 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.